Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2021 Apr 1.
Published in final edited form as: Mult Scler. 2020 Jan 22;26(5):599–604. doi: 10.1177/1352458519879303

microRNA and exosome profiling in multiple sclerosis

Marcin P Mycko 1, Sergio E Baranzini 2
PMCID: PMC7160025  NIHMSID: NIHMS1539545  PMID: 31965891

Abstract

New DNA sequencing technologies have uncovered non-coding RNA (ncRNA) as a major player in regulating cellular processes and can no longer be dismissed as “junk” or “dark” RNA. Among the ncRNA, microRNA (miRNA) is arguably the most extensively characterized category and a number of studies have implicated them in regulating critical functions that can influence autoimmune demyelination. Of specific interest to multiple sclerosis (MS), miRNA have been implicated in both regulating immune responses and myelination, thus making them an attractive candidate for both pharmacological intervention and as disease biomarkers. In addition, exosomes, small vesicles secreted by most cell types and present in all body fluids, have been also shown to play roles in immune signaling, inflammation and angiogenesis. Therefore, exosomes are also being explored as tools for therapeutic delivery and as biomarkers. This article reviews the recent advances in miRNA and exosome profiling in MS and experimental models.

Keywords: microRNA, exosome, multiple sclerosis, EAE, biomarker, immune response

Introduction:

Despite the remarkable progress in the understanding and treatment of multiple sclerosis (MS), the disease course is still highly unpredictable1. Therefore, an urgent need exists for the discovery of biomarkers that can track and predict outcomes related to disease progression and response to therapeutic drugs. Currently, no externally validated blood immune marker has adequate sensitivity and specificity to be used for the diagnosis of MS, which probably reflects the heterogeneity of the disease. Owing to the progress in high throughput sequencing technologies and emerging data on the mechanisms of horizontal transfer of material between the cells new opportunities have arisen in this field. In this review, we discuss currently available evidence associating novel intra and extracellular RNAs analysis as putative biomarkers of MS as well as their potential role in autoimmune demyelination development and progress.

microRNA and other non-protein coding RNAs

Molecular biology progress over last two decades has unveiled a universe of non-protein coding RNA (ncRNA) present in our cells. It is now apparent that protein coding RNA only represents about 2% of the information encoded in genomic DNA2. Furthermore recent high throughput transcriptome analyses have documented that ncRNA constitutes a major product of our genome3. Our current knowledge of the function of ncRNAs is still very limited resulting in the notion that we are just starting to understand the true value of the information encoded in our genomes.

One of the best studied groups of the ncRNA are microRNA (miRNA). miRNA are conserved, single-stranded, non-coding RNAs comprised of approximately 22 nucleotides, that play important roles in gene-regulation by targeting mRNAs for cleavage or translational repression4. The master role of miRNAs is regulation of gene transcription at the posttranscriptional level, which is considered as an epigenetic regulatory mechanism, through cleaving or blocking messenger RNAs (mRNAs) from further translation. A single miRNA can directly repress translation of hundreds of genes and each mRNA transcript may be regulated by multiple miRNAs. This many-to-many relationship underscores the complexity of the miRNA regulatory networks that govern cellular programs from inflammation and neurogenesis, to homeostatic maintenance. Several databases and online resources are available to lookup published miRNA sequences and annotations (e.g. miRbase, http://mirbase.org), including specialized software to find associations between given miRNA and its target genes (e.g. miRSystem, http://mirsystem.cgm.ntu.edu.tw).

The role of miRNA in autoimmune demyelination

The last decade has seen great progress in the description of the role miRNA in MS and experimental autoimmune encephalomyelitis (EAE). From unbiased transcriptomic analysis to functional dissection of specific miRNAs, the field has flourished. In one of the earliest studies, miR-155 was identified as a key regulator of these inflammatory responses, as targeted deletion of this gene in mice resulted in a decrease in Th1 and Th17 cellular differentiation both in the CNS and in peripheral lymphoid organs. Furthermore, both deletion and pharmacological targeting of miR-155 resulted in delayed course and reduced severity of EAE, which prompted authors of the study to propose its therapeutic targeting5. In a separate study, a rare form of this same gene (miR-155-3p) was found to drive the development of autoimmune demyelination by regulation of heat shock protein 406. miR-301a was also found to be a critical regulator of myelin-reactive T-helper type 17 cells, further supporting their role as candidates for therapeutic targets for controlling of autoimmune demyelination7.

In addition to their role in modulating effector inflammatory T cell responses, miRNA also play a role in regulating the regulatory T cell (Treg) population, that normally counterbalances the former. Surprisingly, miR-155 has also been found to influence Treg development and function, as recent studies showed that it is regulated by Foxp3, a transcription factor characteristic of this cell population8. The seemingly opposite roles of the same miRNA in different cells highlights the complexity of the regulatory networks at play in the immune system.

While the previous examples highlighted the regulatory role of miRNA in proinflammatory responses during EAE, additional studies also showed their primary role in regulating myelination itself. For example, miR-23a-overexpressing mice have increased myelin thickness, providing in vivo evidence that miR-23a enhances both oligodendrocyte differentiation and myelin synthesis9.

miRNA as biomarkers of MS

Encouraged by the early discoveries of a handful of miRNA involved in myelination10 and inflammatory responses11, several studies focused on their systematic profiling in serum and other biological fluids as disease biomarkers. In one study including 4 observational cohorts, 5 miRNAs (hsa-miR-484, hsa-miR-140-5p, hsa-miR-320a, hsa-miR-486-5p, and hsa-miR-320c) showed a significant difference between patients with MS and healthy individuals12. A follow up study explored the potential of miRNA profiling to identify subtypes of MS. In this study, miR-92a-1 was differentially expressed in RRMS versus SPMS, and RRMS versus healthy controls. Furthermore, this miRNA showed an association with both EDSS and disease duration13.

In a more recent study, a large group of MS patients (n=1,088) was stratified based on brain imaging and miRNA profiling was used to identify differences across the different MRI-based phenotypes14. Interestingly, Each MRI phenotype demonstrated a miRNA signature whose underlying biology implicates blood-brain barrier pathology. Specifically, miR-22-3p, miR-361-5p, and miR-345-5p were the most valid differentiators of the MRI phenotypes.

While miRNA profiling from biofluids poses a great promise as a biomarker for MS, it must be noted that conflicting results, heterogeneity and lack of replication are ongoing challenges in the field. For example, a recent review of the literature highlighted that out of the 650 differentially expressed ncRNAs reported in MS patients, only 27.5% were found dysregulated in the same direction in at least two independent studies. If the cutoff criteria is increased to three studies, then only 9% of the reported differences remain15. This lack of replication is not foreign to biomarker projects in general and underscore the logistical difficulties behind this kind of studies. While some of these challenges (e.g. small sample size, biospecimen collection methods, profiling techniques, etc.) can be overcome with appropriate planning and funding, some are inherent to the complexity and heterogeneity of the underlying biology. The recent emergence of novel mechanisms of miRNA regulation (e.g. circular RNAs) might provide a better insight and renewed enthusiasm for the development of more robust biomarkers in autoimmune demyelination16.

Exosomes as cell-to-cell communication system

Exosomes are small extracellular vesicles released from the endocytic compartment of cells, which can be easily detected in serum and other biological fluids17. They contain material of cell origin including proteins, lipids, DNA, mRNA, and non-coding RNA and mediate a wide array of biological functions including the modulation of immune reactions, cell differentiation and apoptosis18. Exosomes might in fact provide a mechanism for long distance intercellular communication since they can travel between different compartments of the body and across biological barriers. Due to their small size (30-120 nm) and lipophilic nature, exosomes are taken up by a number of organ tissues and cell populations19. Indeed, it was demonstrated that cells transfected with a plasmid coding for the green fluorescent protein (eGFP), when injected into mice, released exosomes carrying eGFP RNA that was found not only in the circulation but in many other cell types proving direct interaction between exosomes and target cells20. The production, secretion, and transfer of exosomes arises as a crucial and still largely unexplored system of a cell-to-cell communication. Cancer research in particular provides numerous clues for the significance of exosomes mediated effects21. An increasing amount of recently published literature confirms that cancer and cancer-associated cells use exosomes to communicate their message to malignant and non-malignant cells 2224. This is done through the transfer of functional components, in order to initiate pathways that are necessary for tumor survival and propagation. Additional roles of exosomes include regulation of cell proliferation, induction of programmed cell death, metabolism, differentiation and phenotypic modification25. Thus, exosome-mediated effects likely play a role in many pathological conditions and may contribute to every aspect of cellular biology and dysregulation.

Exosomes do not contain a random sampling of components of their parent cells but have a specific composition reflecting the state of cell activation and can be influenced by pathologic processes from the tissue of origin. Indeed, exosome release is considered a cellular adaptation mechanism and its biogenesis, composition and secretion are affected by the microenvironment of cells. Furthermore, extracellular RNA, RNA-binding proteins, and other cellular proteins are differentially expressed in exosomes and non-vesicle compartments18. Thanks to the recent progress in high throughput transcriptome techniques, the analysis of the low content material of total exosomes has become possible26. The resulting data provide a unique insight into the wealth of the transcripts present in the extracellular vesicles18, 27.

RNA species identified as a cargo of the cell culture released exosomes include predominantly different classes of short RNA species including miRNA, small nuclear RNA, small nucleolar RNA, Piwi-interacting RNA, vault RNA, Y-RNA, small conditional RNA, signal recognition particle RNA, 7SK-RNA28. Furthermore a ribosomal RNA, transfer RNA, messenger RNA, long non-coding RNAs, and various intergenic repeats have also been found within the exosomes. So far only few studies have addressed the human biofluid derived exosomes full transcriptome content27, 2931. All of them demonstrated a wealth of sequences present in the circulating exosomes. Majority of the RNAs were ncRNA, including miRNA. These studies provided evidence that large part of the cellular transcriptome is present in exosomes and therefore could potentially be transferred to other cells. This complexity of the exosomal RNA cargo combined with their seclusion from the circulating RNAses provides an exciting platform for a biomarker discovery research.

Circulating exosomes as a biomarkers

Exosomes provide a means of cell-to-cell communication by transporting their cargo and delivering it to target cells. The content of these microvesicles representing a molecular bioprint of their parental cells. Therefore exosomes present in blood and other biofluids are potentially noninvasive biomarkers for early diagnosis and prognosis of various types of diseases32. Exosome profiling is often called a “liquid biopsy” as it may provide an insight about the content of the hard to access organs without the need of their direct sampling33. Exosome release is considered a cellular adaptation mechanism and its biogenesis, composition and secretion are affected by the microenvironment of cells.

Currently clinicaltrials.gov registry enlists 35 active trials aiming at the observation of the exosomes biomarkers analysis. The majority of these trials is dedicated to the cancer and tumor research, and only one study, is dedicated to a neurological condition, (i.e. dementia)34. Interestingly, blood circulating exosomes show presence of the CNS markers resulting from the brain origin35, 36. The analysis of these exosomes should provide a unique insight into the status of the CNS bypassing the need for a biopsy37. Furthermore exosomes can provide a source of the long sought CNS antigens trafficking through the BBB36. These arguments should prompt for more trials involving exosomes analysis in the CNS conditions including MS.

Exosomes in MS monitoring

Emerging data on the use of miRNA and other molecular cargo carried by circulating exosomes as biomarkers of various conditions has renewed enthusiasm for further exploring the role of these microvesicles as a putative indicators of MS status and for disease monitoring38. Current search of the PubMed database, using MeSH terms “exosomes” and “multiple sclerosis”, following an individual curation revealed 16 original publications relating to the biomarker search in MS (Table). The majority (9 articles) analyzed serum or plasma derived exosomes, whereas 3 addressed CSF microvesicles, 3 urine, 2 described cell cultures. Most frequently analyzed exosomes content was miRNA (9 papers), whereas 3 papers investigated lipids and only 2 proteins. Only two publications aimed at global profiling of exosomes cargo, either RNA27 or protein39. These reports document technical feasibility of exosomes extraction and subsequent analysis of MS patients derived material. Promising MS biomarkers (e.g. levels of blood circulating exosomal miR-122-5p) are starting to emerge27, 40. Although the number of publications on the significance of exosomes analysis as biomarkers in MS is still limited the current results are encouraging and warrant further research.

Table 1:

List of original publication describing analyzing exosomes as biomarkers in MS

Publication Journal Source of exosomes Cargo analyzed
1 Azimi et al., 201941 Iran J Allergy Asthma Immunol T cell cultures miRNA
2 Saenz-Cuesta et al., 201842 Viruses plasma miRNA
3 Pieragostino et al., 201843 Sci Rep CSF lipids
4 Olascoaga et al., 201842 Int J Mol Sci T cell cultures functional assays
5 Martelli et al., 201844 Viruses urine miRNA
6 Manna et al., 201840 Faseb J serum miRNA
7 Mallardi et al., 201845 Sci Rep serum equivalent vesicle radius, number of EV, lipids, total RNA concentration
8 Kimura et al., 201846 Nat Commun plasma miRNA
9 Galazka et al., 201836 MS J serum, CSF proteins
10 Soundara Rajan et al., 201747 Int J Immunopathol Pharmacol human periodontal ligament stem cells cultures functional assays
11 Selmaj et al., 201727 Ann Neurol serum total transcriptome, miRNA
12 Ebrahimkhani et al., 201748 Sci Rep serum miRNA
13 Singh et al., 201649 J Neuroimmune Pharmacol urine miRNA
14 Moyano et al., 201650 J Neurosci Res plasma lipids
15 Lee et al., 201639 Clin Chim Acta CSF proteonomic profile
16 Giovannelli et al., 201551 J Neurovirol plasma, urine miRNA

Conclusion and further perspectives

Large-scale profiling of circulating miRNA and exosome content in EAE and MS has prompted early enthusiasm for their potential to emerge as the long-sought biomarker that can characterize patient status using a minimally invasive approach, yet with high sensitivity and specificity. However, while promising results have arisen, limited replication and high heterogeneity remain unsolved challenges. Further research is warranted to firmly establish these relatively newly discovered biomolecules as firm contenders in the quest for the MS biomarker.

Acknowledgments

Funding statement

The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This study was supported by National Center of Research Poland grants 2016/23/B/NZ6/02541, 2015/19/B/NZ6/02834, the National Center for Research and Development grant ERA-NET_NEURON/14/2019 and the University of Warmia na Mazury in Olsztyn internal grant to M.P.M.. Additional support was received from NIH/NINDS (R01NS088155 and R01NS099240), NMSS (CA-1072-A-7) and DOD (DOD_W81XWH-15-1-0652) to S.E.B.

S.E.B is the Heidrich Family and Friends Endowed Chair in Neurology at UCSF. S.E.B. holds the Distinguished Professorship in Neurology I at UCSF.

Footnotes

Disclosures

The authors declare no conflicts of interest in relation to this study.

References

  • 1.Thompson AJ, Baranzini SE, Geurts J, Hemmer B and Ciccarelli O. Multiple sclerosis. Lancet. 2018; 391: 1622–36. [DOI] [PubMed] [Google Scholar]
  • 2.Consortium EP. An integrated encyclopedia of DNA elements in the human genome. Nature. 2012; 489: 57–74. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Sarropoulos I, Marin R, Cardoso-Moreira M and Kaessmann H. Developmental dynamics of lncRNAs across mammalian organs and species. Nature. 2019; 571: 510–4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Bartel DP. Metazoan MicroRNAs. Cell. 2018; 173: 20–51. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Murugaiyan G, Beynon V, Mittal A, Joller N and Weiner HL. Silencing microRNA-155 ameliorates experimental autoimmune encephalomyelitis. J Immunol. 2011; 187: 2213–21. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Mycko MP, Cichalewska M, Cwiklinska H and Selmaj KW. miR-155-3p Drives the Development of Autoimmune Demyelination by Regulation of Heat Shock Protein 40. J Neurosci. 2015; 35: 16504–15. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Mycko MP, Cichalewska M, Machlanska A, Cwiklinska H, Mariasiewicz M and Selmaj KW. MicroRNA-301a regulation of a T-helper 17 immune response controls autoimmune demyelination. Proc Natl Acad Scl U S A. 2012; 109: E1248–57. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Lu LF, Thai TH, Calado DP, et al. Foxp3-dependent microRNA155 confers competitive fitness to regulatory T cells by targeting SOCS1 protein. Immunity. 2009; 30: 80–91. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Lin ST, Huang Y, Zhang L, Heng MY, Ptacek LJ and Fu YH. MicroRNA-23a promotes myelination in the central nervous system. Proc Natl Acad Sci U S A. 2013; 110: 17468–73. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Emery B Regulation of oligodendrocyte differentiation and myelination. Science. 2010; 330: 779–82. [DOI] [PubMed] [Google Scholar]
  • 11.Xiao C and Rajewsky K. MicroRNA control in the immune system: basic principles. Cell. 2009; 136: 26–36. [DOI] [PubMed] [Google Scholar]
  • 12.Regev K, Healy BC, Paul A, et al. Identification of MS-specific serum miRNAs in an international multicenter study. Neurol Neuroimmunol Neuroinflamm. 2018; 5: e491. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Gandhi R, Healy B, Gholipour T, et al. Circulating microRNAs as biomarkers for disease staging in multiple sclerosis. Annals of neurology. 2013; 73: 729–40. [DOI] [PubMed] [Google Scholar]
  • 14.Hemond CC, Healy BC, Tauhid S, et al. MRI phenotypes in MS: Longitudinal changes and miRNA signatures. Neurol Neuroimmunol Neuroinflamm. 2019; 6: e530. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Piket E, Zheleznyakova GY, Kular L and Jagodic M. Small non-coding RNAs as important players, biomarkers and therapeutic targets in multiple sclerosis: A comprehensive overview. J Autoimmun. 2019; 101: 17–25. [DOI] [PubMed] [Google Scholar]
  • 16.Zurawska A, Mycko MP and Selmaj KW. Circular RNAs as a novel layer of regulatory mechanism in multiple sclerosis. J Neuroimmunol. 2019; 334: 576971. [DOI] [PubMed] [Google Scholar]
  • 17.van Niel G, D’Angelo G and Raposo G. Shedding light on the cell biology of extracellular vesicles. Nat Rev Mol Cell Biol. 2018; 19: 213–28. [DOI] [PubMed] [Google Scholar]
  • 18.Jeppesen DK, Fenix AM, Franklin JL, et al. Reassessment of Exosome Composition. Cell. 2019; 177: 428–45 e18. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Tkach M and Thery C. Communication by Extracellular Vesicles: Where We Are and Where We Need to Go. Cell. 2016; 164: 1226–32. [DOI] [PubMed] [Google Scholar]
  • 20.Jiang H, Li Z, Li X and Xia J. Intercellular transfer of messenger RNAs in multiorgan tumorigenesis by tumor cell-derived exosomes. Mol Med Rep. 2015; 11: 4657–63. [DOI] [PubMed] [Google Scholar]
  • 21.Xu R, Rai A, Chen M, Suwakulsiri W, Greening DW and Simpson RJ. Extracellular vesicles in cancer - implications for future improvements in cancer care. Nat Rev Clin Oncol. 2018; 15: 617–38. [DOI] [PubMed] [Google Scholar]
  • 22.Aghebati-Maleki A, Nami S, Baghbanzadeh A, et al. Implications of exosomes as diagnostic and therapeutic strategies in cancer. J Cell Physiol. 2019; 234: 21694–706. [DOI] [PubMed] [Google Scholar]
  • 23.Alyamani H, Obeid MA, Tate RJ and Ferro VA. Exosomes: fighting cancer with cancer. Ther Deliv. 2019; 10: 37–61. [DOI] [PubMed] [Google Scholar]
  • 24.Bu H, He D, He X and Wang K. Exosomes: Isolation, Analysis, and Applications in Cancer Detection and Therapy. Chembiochem. 2019; 20: 451–61. [DOI] [PubMed] [Google Scholar]
  • 25.Broekman ML, Maas SLN, Abels ER, Mempel TR, Krichevsky AM and Breakefield XO. Multidimensional communication in the microenvirons of glioblastoma. Nat Rev Neurol. 2018; 14: 482–95. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Das S, Extracellular RNACC, Ansel KM, et al. The Extracellular RNA Communication Consortium: Establishing Foundational Knowledge and Technologies for Extracellular RNA Research. Cell. 2019; 177: 231–42. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Selmaj I, Cichalewska M, Namiecinska M, et al. Global exosome transcriptome profiling reveals biomarkers for multiple sclerosis. Ann Neurol. 2017; 81: 703–17. [DOI] [PubMed] [Google Scholar]
  • 28.Turchinovich A, Drapkina O and Tonevitsky A. Transcriptome of Extracellular Vesicles: State-of-the-Art. Front Immunol. 2019; 10: 202. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Huang X, Yuan T, Tschannen M, et al. Characterization of human plasma-derived exosomal RNAs by deep sequencing. BMC Genomics. 2013; 14: 319. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Cheng L, Sun X, Scicluna BJ, Coleman BM and Hill AF. Characterization and deep sequencing analysis of exosomal and non-exosomal miRNA in human urine. Kidney Int. 2014; 86: 433–44. [DOI] [PubMed] [Google Scholar]
  • 31.Ogawa Y, Taketomi Y, Murakami M, Tsujimoto M and Yanoshita R. Small RNA transcriptomes of two types of exosomes in human whole saliva determined by next generation sequencing. Biol Pharm Bull. 2013; 36: 66–75. [DOI] [PubMed] [Google Scholar]
  • 32.Graner MW, Schnell S and Olin MR. Tumor-derived exosomes, microRNAs, and cancer immune suppression. Semin Immunopathol. 2018; 40: 505–15. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Poudineh M, Sargent EH, Pantel K and Kelley SO. Profiling circulating tumour cells and other biomarkers of invasive cancers. Nat Biomed Eng. 2018; 2: 72–84. [DOI] [PubMed] [Google Scholar]
  • 34.Raine CS, Bonetti B and Cannella B. Multiple sclerosis: expression of molecules of the tumor necrosis factor ligand and receptor families in relationship to the demyelinated plaque. Rev Neurol (Paris). 1998; 154: 577–85. [PubMed] [Google Scholar]
  • 35.Katsu M, Hama Y, Utsumi J, et al. MicroRNA expression profiles of neuron-derived extracellular vesicles in plasma from patients with amyotrophic lateral sclerosis. Neurosci Lett. 2019; 708: 134176. [DOI] [PubMed] [Google Scholar]
  • 36.Galazka G, Mycko MP, Selmaj I, Raine CS and Selmaj KW. Multiple sclerosis: Serum-derived exosomes express myelin proteins. Mult Scler. 2018; 24: 449–58. [DOI] [PubMed] [Google Scholar]
  • 37.Ramirez SH, Andrews AM, Paul D and Pachter JS. Extracellular vesicles: mediators and biomarkers of pathology along CNS barriers. Fluids Barriers CNS. 2018; 15: 19. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Saenz-Cuesta M, Irizar H, Castillo-Trivino T, et al. Circulating microparticles reflect treatment effects and clinical status in multiple sclerosis. Biomark Med. 2014; 8: 653–61. [DOI] [PubMed] [Google Scholar]
  • 39.Lee J, McKinney KQ, Pavlopoulos AJ, et al. Exosomal proteome analysis of cerebrospinal fluid detects biosignatures of neuromyelitis optica and multiple sclerosis. Clin Chim Acta. 2016; 462: 118–26. [DOI] [PubMed] [Google Scholar]
  • 40.Manna I, Iaccino E, Dattilo V, et al. Exosome-associated miRNA profile as a prognostic tool for therapy response monitoring in multiple sclerosis patients. FASEB J. 2018; 32: 4241–6. [DOI] [PubMed] [Google Scholar]
  • 41.Azimi M, Ghabaee M, Naser Moghadasi A and Izad M. Altered Expression of miR-326 in T Cell-derived Exosomes of Patients with Relapsing-remitting Multiple Sclerosis. Iran J Allergy Asthma Immunol. 2019; 18: 108–13. [PubMed] [Google Scholar]
  • 42.Saenz-Cuesta M, Alberro A, Munoz-Culla M, et al. The First Dose of Fingolimod Affects Circulating Extracellular Vesicles in Multiple Sclerosis Patients. Int J Mol Sci. 2018; 19. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Pieragostino D, Cicalini I, Lanuti P, et al. Enhanced release of acid sphingomyelinase-enriched exosomes generates a lipidomics signature in CSF of Multiple Sclerosis patients. Sci Rep. 2018; 8: 3071. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Martelli F, Macera L, Spezia PG, et al. Torquetenovirus detection in exosomes enriched vesicles circulating in human plasma samples. Virol J. 2018; 15: 145. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Mallardi A, Nuzziello N, Liguori M, Avolio C and Palazzo G. Counting of peripheral extracellular vesicles in Multiple Sclerosis patients by an improved nanoplasmonic assay and dynamic light scattering. Colloids Surf B Biointerfaces. 2018; 168: 134–42. [DOI] [PubMed] [Google Scholar]
  • 46.Kimura K, Hohjoh H, Fukuoka M, et al. Circulating exosomes suppress the induction of regulatory T cells via let-7i in multiple sclerosis. Nat Commun. 2018; 9: 17. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Soundara Rajan T, Giacoppo S, Diomede F, Bramanti P, Trubiani O and Mazzon E. Human periodontal ligament stem cells secretome from multiple sclerosis patients suppresses NALP3 inflammasome activation in experimental autoimmune encephalomyelitis. Int J Immunopathol Pharmacol. 2017; 30: 238–52. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Ebrahimkhani S, Vafaee F, Young PE, et al. Exosomal microRNA signatures in multiple sclerosis reflect disease status. Sci Rep. 2017; 7: 14293. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Singh J, Deshpande M, Suhail H, Rattan R and Giri S. Targeted Stage-Specific Inflammatory microRNA Profiling in Urine During Disease Progression in Experimental Autoimmune Encephalomyelitis: Markers of Disease Progression and Drug Response. J Neuroimmune Pharmacol. 2016; 11: 84–97. [DOI] [PubMed] [Google Scholar]
  • 50.Moyano AL, Li G, Boullerne AI, et al. Sulfatides in extracellular vesicles isolated from plasma of multiple sclerosis patients. J Neurosci Res. 2016; 94: 1579–87. [DOI] [PubMed] [Google Scholar]
  • 51.Giovannelli I, Martelli F, Repice A, Massacesi L, Azzi A and Giannecchini S. Detection of JCPyV microRNA in blood and urine samples of multiple sclerosis patients under natalizumab therapy. J Neurovirol. 2015; 21: 666–70. [DOI] [PubMed] [Google Scholar]

RESOURCES